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Performance Prediction of a Solar District Cooling System in Riyadh, Saudi T Arabia – a Case Study ⁎ G

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Energy Conversion and Management 166 (2018) 372–384 Contents lists available at ScienceDirect Energy Conversion and Management journal homepage: www.elsevier.com/locate/enconman Performance prediction of a solar district cooling system in Riyadh, Saudi T Arabia – A case study ⁎ G. Franchini , G. Brumana, A. Perdichizzi Department of Engineering and Applied Sciences, University of Bergamo, 5 Marconi Street, Dalmine 24044, Italy ARTICLE INFO ABSTRACT Keywords: The present paper aims to evaluate the performance of a solar district cooling system in typical Middle East Solar cooling climate conditions. A centralized cooling station is supposed to distribute chilled water for a residential com- District cooling pound through a piping network. Two different solar cooling technologies are compared: two-stage lithium- Parabolic trough bromide absorption chiller (2sABS) driven by Parabolic Trough Collectors (PTCs) vs. single-stage lithium-bro- Absorption chiller mide absorption chiller (1sABS) fed by Evacuated Tube Collectors (ETCs). A computer code has been developed Thermal storage in Trnsys® (the transient simulation software developed by the University of Wisconsin) to simulate on hourly basis the annual operation of the solar cooling system, including building thermal load calculation, thermal losses in pipes and control strategy of the energy storage. A solar fraction of 70% was considered to size the solar field aperture area and the chiller capacity, within a multi-variable optimization process. An auxiliary com- pression chiller is supposed to cover the peak loads and to be used as backup unit. The two different solar cooling plants exhibit strongly different performance. For each plant configuration, the model determined the optimal size of every component leading to the primary cost minimization. The solar district cooling configuration based on 2sABS and PTCs shows higher performance at Riyadh (KSA) climate conditions and the overall cost is 30% lower than the one of the single-stage absorption chiller plant. 1. Introduction different integration scenarios including cogeneration, trigeneration and district heating/cooling. District energy systems have attracted great interest over the last A further milestone in the development of district energy systems decades thanks to the undeniable environmental and economic benefits has been derived from the integration of energy storages in district and the high level of efficiency and reliability. Boran et al. [1] ex- heating [7–9], as well as in district cooling. The storage can be diurnal amined district heating systems and concluded that they are responsible or seasonal [10]. Powell et al. [11] presented a new methodology to for 33% equivalent CO2 savings compared to conventional gas boilers optimize the operation of the cooling unit coupled with tanks. Gang used for heating, and electricity from the grid for electrical demand. et al. [12] investigated a district cooling system with thermal storage Casisi et al. [2] investigated a distributed cogeneration system with a integrated into a trigeneration plant serving a residential compound in district heating network, applied to a real city center: they demon- a subtropical area. The results of their work show that an appropriate strated that both microturbines and ICEs designed for CHP applications design can lead to economic, environmental and energy savings. are competitive with respect to conventional energy supply. Many pa- The integration of renewable sources into district energy systems is pers focus on improving the system at the network level. The network a way to increase the environmental sustainability, in spite of the im- operation is deeply analyzed in [3,4]: the authors developed a detailed pact on the initial investment [8]. Liew et al. [13] analyzed several numerical model based on a quasi-static approach for the hydraulic options to integrate different energy systems including renewable in behavior and a transient model for the thermal one. Despite most of the different types of building complexes. The exploitation of geothermal existing district energy systems are for heating purpose [5], in recent energy for district heating systems has been deeply investigated [14]. years the development of district cooling systems has grown up due to Heat can be extracted from the ground directly or with the use of heat the increase of the global energy demand for air conditioning. The pumps [15]. growth of district cooling systems is linked to the development and Integrating solar energy into district heating systems is a challenge marketing of absorption chillers: Ameri and Besharati [6] evaluated of recent years [16]. The main issues are the variability of the source, ⁎ Corresponding author. E-mail address: [email protected] (G. Franchini). https://doi.org/10.1016/j.enconman.2018.04.048 Received 22 January 2018; Received in revised form 11 April 2018; Accepted 12 April 2018 Available online 03 May 2018 0196-8904/ © 2018 Elsevier Ltd. All rights reserved. G. Franchini et al. Energy Conversion and Management 166 (2018) 372–384 Nomenclature Ecoll heat collected by the solar field (MWh) Erad radiant solar energy (MWh) 1sABS single-stage absorption chiller ETC evacuated tube collector 2sABS two-stage absorption chiller G-value,w window solar factor 2 a0 collector optical efficiency GHI global horizontal irradiance (W/m ) 2 a1 collector 1st order loss coefficient (W/m /K) HX heat exchanger 2 2 a2 collector 2nd order loss coefficient (W/m /K ) ICE internal combustion engine 2 Acoll aperture area of the solar field (m ) PTC parabolic trough collector AHU air handling unit Q̇abs cooling power of absorption chiller (1s or 2s) (kW) 2 ̇ BTI beam tilted irradiance (W/m ) Q aux cooling power of auxiliary chiller (kW) ̇ fi Cap capacity of the absorption chiller (kW) Q coll thermal power collected by solar eld (kW) Abs ̇ CC compression chiller Q rad radiant power (kW) CHP combined heat and power SF solar fraction fl CHW chilled water T mean temperature between inlet and outlet ow rates (°C) Tamb ambient temperature (°C) CostAbs unit cost of the absorption chiller ($/kW) 2 Ttank.bottom temperature at tank bottom (°C) Costcoll unit cost of solar collectors ($/m ) 3 Ttank.top temperature at tank top (°C) Costtank unit cost of the tank ($/m ) 2 CR concentration ratio Uroof roof U-value (W/m /K) 2 CW cooling water U-value,w window U-value (W/m /K) 2 DNI direct normal irradiance (W/m2) Uwall wall U-value (W/m /K) 3 E cooling energy produced by the absorption (1s or 2s) Voltank tank volume (m ) abs η ffi – chiller (MWh) e ciency ( ) θ incidence angle (°) Eaux cooling energy produced by the auxiliary chiller (MWh) thus requiring a thermal energy storage system, and the critical over- powered by parabolic trough solar collectors, with operating tempera- heating during the off-heating season. To avoid these problems keeping tures varying in the range 20–160 °C. high the solar contribution, it is essential to design powerful predictive In the open literature, the potential benefits deriving from the in- models of load management and storage tanks: Daniel Trier [17] has tegration of PTCs and 2sABS are substantially unexplored. Starting from investigated district heating systems with a solar fraction of more than previous researches on the modeling and the analysis of buildings and 70%. Often, the solar thermal systems operating in a district heating solar cooling plants [39,40], this work presents a solar district cooling network are coupled with biomass boilers [18]. Therefore, research is model capable of predicting with accuracy the global performance of focused on improving the efficiency of the production plant [19] and the system and the behavior of each single component in design and off- the network [20,21], by means of detailed computer models and si- design operating conditions. mulation tools [22] and genetic optimization algorithms [23]. Subse- Moreover, the paper deals with the system optimization. It is well quently, the integration of the solar contribution is also extended to the known that an optimal plant configuration is crucial for solar driven cooling systems as a direct result of the development of solar cooling technologies, in order to maximize the overall efficiency and to mini- technologies for individual buildings [24]. mize the investment costs, as well documented by Hang et al. [41]. Only a few articles deal with the integration of solar energy in Among the available optimization methods, the integration of dynamic district cooling systems [25–28]. Marugàn-Cruz et al. analyzed the in- simulations based on the Trnsys software and the Hooke and Jeeves tegration of a high temperature solar technology (solar tower) into a optimization algorithm [42] was proved to be a remarkable solution. A district cooling system to enhance the energy surplus in the warm deep explanation of the Hooke and Jeeves direct search algorithm and season [29]. The integration of concentrated solar power plants with its benefits is reported by Kirgat and Surde in [43]. cooling energy production is investigated also in [30], where the au- The paper firstly introduces the Trnsys models developed for re- thors demonstrated that the combined power and cooling production producing the cooling load of a residential compound, the district for plants operating in island-mode can improve the overall global ef- cooling network and the cooling plant based on two different absorp- ficiency. The abovementioned systems are basically large-scale solar tion chillers: double-stage unit powered by a PTC field and single-stage power plants with heat recovery for cooling production via absorption machine driven by ETCs. A set of dynamic simulations have been per- or adsorption chillers. For smaller sizes, typically the solar field is di- formed using the GenOpt optimization tool in order to maximize the rectly connected to the thermally driven chiller [31–33]. The most thermo-economic performance of the systems. common configuration is based on ETCs coupled with a single-stage LiBr absorption chiller [34,35]: evacuated tube collectors with selective 2.
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